Real-Time Distributed Cloud Computing Architecture for Structural Health Monitoring

Real-Time Distributed Cloud Computing Architecture for Structural Health Monitoring
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用于结构健康监测的实时分布式云计算架构

DOI:
10.1061/9780784482230.005
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发表时间:
2019
期刊:
Structures Congress Conference 2019
影响因子:
--
通讯作者:
Sanayei, Masoud
Sanayei, Masoud
中科院分区:
--
文献类型:
--
作者:
Searls, Owen;Zhao, Zhiyong;Couch, Alva L.;Sanayei, Masoud

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实时疲劳健康监测有可能成为桥梁检查中结构健康监测(SHM)的重要补充。SHM是目测桥梁检查的客观补充,桥梁检查之间的最小间隔为24个月。SHM可以为桥梁断裂临界构件的疲劳状态提供定量、客观的数据,疲劳是桥梁断裂临界构件疲劳状态的判据。目前用于状态评估的连续结构健康监测方法是通过收集安装在桥梁断裂关键构件上的一系列传感器对运行交通下的桥梁响应进行测量。测量到的响应被用来确定桥梁的剩余疲劳寿命——维修前的最小时间。这个过程中涉及的大量数据使系统的设计变得复杂,该系统将自动收集桥梁的数据,分析数据,并向研究人员和工程师显示有关桥梁健康的信息。桥梁设计和状态评估算法的变化也需要这样的系统是模块化的,并且可以适应扩展到额外的结构。开发了一种将桥接SHM与数据存储和通信系统分离的新系统。该体系结构创建了一个可靠的接口,用于将数据从一个或多个桥发送到云服务器,在云服务器中,可以使用可适应不同用例的模块化算法处理数据。基于云的web服务和数据存储库使研究人员可以在整个过程的所有步骤中获得桥梁结构健康数据。与以往的结构健康监测和状态评估平台相比,该系统具有显著的优势,尤其是在模块化、可扩展性和可靠性方面。
Real-time fatigue health monitoring has the potential to serve as a valuable complement to structural health monitoring (SHM) for bridge inspections. SHM is an objective supplement to visual bridge inspections with a minimum interval between bridge inspections at 24 months. SHM can provide quantitative and objective data on a bridge’s fatigue condition for fracture-critical components, of which fatigue is a criterion. Current methods of continuous structural health monitoring for condition assessment are performed by collecting measured bridge response subjected to operational traffic from an array of sensors installed on fracture-critical members of a bridge. The measured responses are used to determine the remaining fatigue life of the bridge—the minimum time before repair. The large amount of data involved in this process complicates the design of a system that will automate the data collection process at a bridge, analyze that data, and display information about bridge health to researchers and engineers. Variations in bridge designs and condition assessment algorithms also necessitate that such a system be modular and adaptable to allow for expansion to additional structures. A new system has been developed that separates bridge SHM from the data storage and communication system. This architecture creates a reliable interface for sending data from one or more bridges to a cloud server where it can be processed using modular algorithms that can be adapted for different use cases. The cloud-based web service and data repository makes bridge structural health data available to researchers at all steps of the process. This system provides significant advantages over previous platforms for structural health monitoring and condition assessment, most notably in the areas of modularity, extensibility, and reliability.
DOI: 10.1061/(asce)be.1943-5592.0001302
发表时间: 2018-11
影响因子: 3.6
作者:
Jordan C. Weinstein;M. Sanayei;B. Brenner
通讯作者: Jordan C. Weinstein;M. Sanayei;B. Brenner
基于云的实时连续桥梁监测:桥梁运动称重和状态评估
DOI: --
发表时间: 2017
期刊:
影响因子: --
作者:
Zhiyong Zhao
通讯作者: Zhiyong Zhao
DOI: 10.1061/(asce)be.1943-5592.0000860
发表时间: 2016-05-01
影响因子: 3.6
作者:
Saberi, Mohammad Reza;Rahai, Ali Reza;Vogel, Richard M.
通讯作者: Vogel, Richard M.